5. Lab: Simple Math Operations At the end of this lecture, you should be able to clearly define the two phases in any TensorFlow program. TensorFlow is a very powerful numerical computation framework that was open sourced by Google in November 2015. Representation of all computations as a directed acyclic graph makes it very suitable […]

3. NN Introduced Here is a question that I’d like us all to keep in mind as we go through the contents of this video. Are neural networks a type of representation learning system? That’s the question to keep it in mind and let’s revisit it at the end of this video. Let’s now turn […]

7. Lab: Reading Streaming Data From PubSub And Writing To BigQuery At the end of this lecture, you should know when you would choose to use the Dataflow Pipeline Options interface to read in configuration parameters for our beam pipeline. This demo will pull together a bunch of things that we’ve learned over the course […]

4. Lab: Setting Up A Pubsub Publisher Using The Python Library At the end of this lecture, you should know the answer to this question what two bits of data do you need to publish a message using the Python Library for Pub sub? In this lecture, you’ll implement a Pub sub publisher programmatically in […]

1. Pub Sub Let’s talk about Pub sub, which is an enterprise messaging transport system available on the Google Cloud platform. And as always, here is a question that I’d like you to think about when a data set is unbounded, what constitutes the source of truth? Now, if you have a bounded data set […]

1. Data Lab Let’s quickly talk about Datalab, which is the Google Cloud Platform’s version of Jupiter or Anaconda, an environment where you can interactively execute code. Notebooks Jupiter or I Python are exactly this notebooks for running code. The way Datalab works is via a container which is running on a VM instance. To […]

3. Lab: The Vision, Translate, NLP and Speech API Let’s say you’re building an app where your users can take pictures of sign boards in foreign countries and immediately get a translation. You’re building it on Google cloud platform. What do Google APIs you would use in order to make this happen? In addition to […]

1. Lab: Taxicab Prediction – Setting up the dataset Let’s say that you’re working on a data set that you’ve seen for the very first time. You have a bunch of variables, and you want to see whether the cause effect relationship exists between any of those variables. What are some of the things that […]

13. Lab: Logistic Regression How would you apply the softmax activation function within a neuron when you’re setting up a logistic regression model in TensorFlow? At the end of the lecture. You should be able to answer this question confidently. In this lecture, we’ll discuss how we can implement a logistic regression in TensorFlow. We’ll […]

11. Softmax Here is a question that I’d like us to keep in mind as we go through the contents of this video. Let’s say that we have a set of softmax classification neurons. The output of these is going to be a label. For instance, in digit classification, the output of this set of […]